Online Retailer Uses Root Cause Analysis

Remember the last time you re-launched your web site? It was weeks or months of preparation and then months of development, design and editing. Short of launching a product, it’s a big event and a lot of work. Today’s story shows you how a luxury online women’s retailer, updated their website only to find Google Analytics Events weren’t being properly tracked.

Outlier finds increase in web analysis metrics.

An online luxury women’s retailer recently finished a website refresh and upgrade. The day after the launch, Outlier identified several unexpected changes related to a significant increase in website events. At first, the retailer thought this shift was a normal part of the overall redesign and wasn’t concerned.

Retailer uses root cause analysis

Reading How Online Retailer Uses Root Cause Analysis Story

Later in the day, the retailer looked into Outlier’s Root Cause Analysis feature for the website events story. The analysis indicated the contributing factor for this spike was related an increase from Interest Clicks, which were instrumented incorrectly and drove 62% contribution in the total website events spike.

The retailer investigated, and when combined with other Outlier insights, discovered that several other Google web metrics either had not been turned back on or were implemented incorrectly as part of the website relaunch. Without Outlier, it might have taken this online retailer a week or more to resolve these website tracking issues. And, the retailer would have incomplete marketing campaign attribution and tracking.

You can identify meaningful trends in your data with Outlier. Without Outlier, these kinds of changes or insights would require hours, days, weeks or months of analysis. Outlier empowers businesses to take a deeper look at their data and uncover unexpected trends that can lead to revenue increases. Sign up for a custom demo to hear how another online retailer uses root cause analysis.